Wolfgang Konen

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Thomas BäckProfessor of Computer Science, Leiden University; Chief Scientist, NORCE Research Centre, NorwayDirección de correo verificada de liacs.leidenuniv.nl
Christoph von der MalsburgSenior Fellow, Frankfurt Institute for Advanced StudiesDirección de correo verificada de fias.uni-frankfurt.de
Rolf P. WürtzResearcher at Institut für Neuroinformatik, Ruhr-University Bochum, GermanyDirección de correo verificada de rub.de
Markus ThillPrecitec GmbH & Co. KGDirección de correo verificada de freenet.de
Joachim M. BuhmannETH ZurichDirección de correo verificada de inf.ethz.ch
Boris NaujoksCologne University of Applied SciencesDirección de correo verificada de fh-koeln.de
Martin ZaeffererDHBW RavensburgDirección de correo verificada de dhbw-ravensburg.de
Michael T.M. Emmerich (Dr. rer. nat.)Lead AI Scientist Silo.ai & Jyväskylä University, Finland & LIACS Leiden Univ. NLDirección de correo verificada de liacs.nl
Laurenz WiskottProfessor of Theory of Neural Systems, Institut für Neuroinformatik, Ruhr-Universität BochumDirección de correo verificada de ini.rub.de
Juergen BrankeProfessor of Operational Research and Systems, Warwick Business SchoolDirección de correo verificada de wbs.ac.uk
Peter Krausedivis intelligent solutions GmbHDirección de correo verificada de divis-gmbh.de
Richard AllmendingerProfessor of Applied AI, The University of Manchester, UKDirección de correo verificada de manchester.ac.uk
Kalyanmoy DebKoenig Endowed Chair Professor, Electrical and Computer Engineering, Michigan State UniversityDirección de correo verificada de egr.msu.edu
Claus WeihsProfessor für Computergestützte Statistik, TU DortmundDirección de correo verificada de tu-dortmund.de
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichDirección de correo verificada de stat.uni-muenchen.de
samineh bagheriData Scientist @ inovex

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Wolfgang Konen

Professor for Computer Science & Mathematics, Cologne University of Applied Sciences

Dirección de correo verificada de th-koeln.de - Página principal

Computational Intelligence Optimization Machine Learning Data Mining 3D Computer Vision


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Distortion invariant object recognition in the dynamic link architecture M Lades, JC Vorbruggen, J Buhmann, J Lange, C Von Der Malsburg, ... IEEE Transactions on computers 42 (3), 300-311, 1993	2829	1993
A fast dynamic link matching algorithm for invariant pattern recognition WK Konen, T Maurer, C von der Malsburg Neural networks 7 (6-7), 1019-1030, 1994	151	1994
Electromagnetic N→ N*(1535) transition in the relativistic constituent-quark model W Konen, HJ Weber Physical Review D 41 (7), 2201, 1990	116	1990
Method and system for image-guided interventional endoscopic procedures W Konen, M Scholz US Patent 6,135,946, 2000	111	2000
Temporal convolutional autoencoder for unsupervised anomaly detection in time series M Thill, W Konen, H Wang, T Bäck Applied Soft Computing 112, 107751, 2021	109	2021
Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets S Bagheri, W Konen, M Emmerich, T Bäck Applied Soft Computing 61, 377-393, 2017	70	2017
Tuning and evolution of support vector kernels P Koch, B Bischl, O Flasch, T Bartz-Beielstein, C Weihs, W Konen Evolutionary Intelligence 5, 153-170, 2012	70	2012
Learning to generalize from single examples in the dynamic link architecture W Konen, C Malsburg Neural Computation 5 (5), 719-735, 1993	70	1993
Development of an endoscopic navigation system based on digital image processing M Scholz, W Konen, S Tombrock, B Fricke, L Adams, M Von Duering, ... Computer Aided Surgery 3 (3), 134-143, 1998	56	1998
Online anomaly detection on the webscope S5 dataset: A comparative study M Thill, W Konen, T Bäck 2017 Evolving and Adaptive Intelligent Systems (EAIS), 1-8, 2017	54	2017
ZN-Face: A system for access control using automated face recognition W Konen Proceedings of International Workshop on Automatic Face-and Gesture …, 1995	53	1995
Constraint Handling in Efficient Global Optimization S Bagheri, W Konen, R Allmendinger, J Branke, K Deb, J Fieldsend, ...	52	2017
Efficient multi-criteria optimization on noisy machine learning problems P Koch, T Wagner, MTM Emmerich, T Bäck, W Konen Applied Soft Computing 29, 357-370, 2015	51	2015
Gesture recognition on few training data using slow feature analysis and parametric bootstrap P Koch, W Konen, K Hein The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010	51	2010
Comparing facial line drawings with gray-level images: a case study on PHANTOMAS W Konen International Conference on Artificial Neural Networks, 727-734, 1996	46	1996
Time series encodings with temporal convolutional networks M Thill, W Konen, T Bäck International Conference on Bioinspired Methods and Their Applications, 161-173, 2020	38	2020
The VN project: endoscopic image processing for neurosurgery W Konen, M Scholz, S Tombrock Computer Aided Surgery 3 (3), 144-148, 1998	38	1998
Tuned data mining: a benchmark study on different tuners W Konen, P Koch, O Flasch, T Bartz-Beielstein, M Friese, B Naujoks Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011	36	2011
Virtual image navigation: a new method to control intraoperative bleeding in neuroendoscopic surgery M Scholz, B Fricke, S Tombrock, M Hardenack, K Schmieder, ... Journal of neurosurgery 93 (2), 342-350, 2000	35	2000
A new repair method for constrained optimization P Koch, S Bagheri, W Konen, C Foussette, P Krause, T Bäck Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015	31	2015

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